Research Engineer (Post-Training)

Join as a Research Engineer on the Post-Training team, where you'll fine-tune AI models, optimize their performance, and ensure they meet high standards of quality and efficiency. Your work will contribute to groundbreaking advancements in AI, shaping a future where technology is a companion in our daily lives. You'll develop alignment algorithms, write data pipelines, identify quality signals, and design sampling algorithms. Enjoy top-notch health coverage, a generous 401(K) contribution, paid leave for new parents, 4 weeks of PTO, daily in-office catering, a monthly wellness stipend, and more. - Contribuer au perfectionnement des modèles d'IA, à l'optimisation de leurs performances et à l'assurance de leur qualité. - Développer des algorithmes d'alignement et des fonctions de perte pour améliorer l'efficacité des échantillons de données. - Écrire des pipelines de données pour traiter des données web diverses dans un format que les modèles peuvent ingérer. - Experience with data pipelines and data infrastructure - Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc) - Write clear and clean production-facing and training code - All Industry Levels": at least PhD (or equivalent) research experience - Track-record of exceptional research or creative applied ML projects - Experience working with GPUs (training, serving, debugging) - Publications in relevant academic journals or conferences in the field of machine learning - Experience with product experimentation and A/B testing - Experience training large models in a distributed setting - Familiarity with ML deployment and orchestration (Kubernetes, Docker, cloud)